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Automated Network Troubleshooting Powered by AI for Faster Incident Resolution

NetBrain’s AI-powered network troubleshooting automation transforms how IT teams diagnose and resolve incidents. By automating ticket handling, diagnostics, accelerating root cause analysis, and orchestrating remediation workflows, it reduces mean time to repair (MTTR) and improves overall network efficiency across multi-vendor hybrid-cloud infrastructures.

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Automated Network Troubleshooting Powered by AI for Faster Incident Resolution

Automation + AI-Powered Diagnosis

Summarize Automation for Every Incident

Summarize Automation for Every Incident
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Map-Based No-Code Auto-Diagnosis and Remediation

Enable machine auto-diagnosis of known problems from any map or path. Utilize our AI-powered network troubleshooting runbooks to drastically reduce your Mean Time to Repair (MTTR) and improve your Mean Time to Innocence (MTTI). Implement NetBrain's diagnostic tools for the speedy identification of issues and remediate known problems instantly.

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Auto-Trigger and Diagnose Tickets to Reduce Human Touch

False positives and noisy alerts can cost network engineers significant time for troubleshooting . Minimize human intervention and reduce the number of repetitive tickets and monitoring events, that can inundate your network operations center staff from initial event to resolution. Leverage Agentic AI to intake and assess tickets, run tests for transient issues at regular intervals, and orchestrate the right intent-based automation to auto-diagnose issues. Prioritize and escalate actionable complex incidents with a collaboration portal for more efficient L2 and L3 troubleshooting and documentation.

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AI Bot and AI Insight to Enhance Troubleshooting Workflows

Take advantage of our AI Bot as an assistant to facilitate incident response for L1 operators. Enable operations teams to ask diagnostic questions and troubleshoot using natural language for input and output. Eliminate time-consuming hand-offs and escalations and streamline your network's troubleshooting workflow using NetBrain's runbooks and AI Document. Leverage AI Insight ask questions to solve problems happening in your network. AI Insights works like an expert analyst, discovering root causes and validating network behavior by automatically running diagnostics—such as checking L2/L3 reachability, detecting policy changes, or identifying misconfigured ACL rules. It delivers a precise, actionable insight, such as: *“Checkout traffic is being intermittently blocked by an updated ACL on PA-FW01. A rule added yesterday at 11:23 AM blocks port 443 under certain conditions.”* This powerful capability is powered by a large automation pool and a default Insight database, grounding every response in your actual network data and context.

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Teach the AI with Human Knowledge and Generate Reusable Runbook Templates of Automated Incident Workflows

After auto-diagnosing every incident’s root cause leveraging runbooks of automation workflows, save them as runbook templates that other operators, engineers, and even the AI can leverage to resolve future incidents to cut MTTR in half every 12 months.

Assess Network for Same Root Cause

Maximize NetBrain's network troubleshooting solutions to trigger shareable incident summary dashboards. Leverage our technology to conduct automated monitoring, efficiently summarize data and quickly remediate network problems.

Summarize Automation for Every Incident
Map-Based No-Code Auto-Diagnosis and Remediation
Auto-Trigger and Diagnose Tickets to Reduce Human Touch
AI Bot and AI Insight to Enhance Troubleshooting Workflows

For any ticket, automatically search for similar network problems and get an early warning.

Teach the AI with Human Knowledge and Generate Reusable Runbook Templates of Automated Incident Workflows
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“ This platform helped us with the creation of workflows and, since is no-code, it doesn't require programming. So we can focus on just setting up our workflows. Our main benefits from this tool is that provides network validation, diagrams, and if there is a problem, we can diagnose or troubleshoot it.”

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INTERVIEW
Network Automation Insights with Ginkgo Technologies In this interview, Tim Colby Sr.—Founder & CEO of Ginkgo Technologies—shares why NetBrain stands out as a truly comprehensive solution.
BLOG Top 5 Network Support Tickets to Automate
VIDEO Automated Problem Diagnosis
WEBINAR Streamline Lifecycle Management and Avoid Service Issues

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Frequently Asked Questions

What is AI-powered automated network troubleshooting?

AI-powered automated network troubleshooting uses Agentic AI to trigger automate diagnostics based on ITSM and monitoring events and alerts, identify root causes, map the network area, analyze historical ticket data to build intent-based automation, and templatize remediation workflows. It significantly reduces manual investigation, helps prove mean time to innocence, and improves incident mean time to response.

How does NetBrain improve troubleshooting efficiency?

NetBrain automates key troubleshooting steps as runbooks for every incident, visualizes hybrid-cloud network paths, and uses generative AI (GenAI) to pinpoint root causes quickly and accelerates remediation. It enables IT teams to resolve incidents faster and reduce network downtime.

Can this solution work across hybrid network environments?

Yes. NetBrain provides visibility and automation across on-premises and multi-cloud networks, enabling consistent troubleshooting and diagnostics across hybrid and multi-vendor infrastructures.

How does NetBrain integrate with ITSM (e.g., ServiceNow, Jira, BMC, etc.) and monitoring tools (Splunk, ThousandEyes, etc.)?

Secure REST API–based integration allows trouble tickets and monitoring alerts to automatically trigger NetBrain’s AI to find the necessary intent-based automation to quickly map and diagnose the issue, summarizes the results, and consolidate and store all the information in the ticket.

How does AI help reduce MTTR?

AI reasons tickets or human LLM input to orchestrate the right automation from millions of data points and thousands of intents correlating telemetry data, automating repetitive diagnostic tasks, and recommending remediation actions in real time. This accelerates incident resolution and reduces mean time to repair.

How does NetBrain compare to legacy systems?

Unlike SolarWinds, Itential and Forward Networks, which focus on NPM, Digital Twins and workflow automation without AI-driven troubleshooting, NetBrain combines AI-powered diagnostics, root cause analysis, and compliance validation. This delivers faster incident resolution and deeper operational intelligence.